Case study -
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study -
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an
All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Overview -
A company wants to use a set of services on Azure. They want to make use of Platform-as-a-service products to create a new data pipeline process. They have the following requirements:
Data Ingestion -
* This layer must provide access to multiple sources
* This layer must provide the ability to orchestrate a workflow
* It must also provide the capability to run SQL Server Integration Service packages
Storage -
* The storage layer must be optimized for Big Data workloads
* It must provide encryption of data at rest
* There must be no size constraints
Prepare and Train -
* This layer must provide a fully managed interactive workspace for exploration and visualization
* Here you should be able to program in R. SQL or Scala
* It must provide seamless user authentication with Azure Active Directory
Model and Service -
* This layer must provide support for SQL language
* It must implement native columnar storage
Which of the following should be used as a technology for the `Data Ingestion` layer?
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